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README.md
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---
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license: mit
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title: book_recomender
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sdk: gradio
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emoji: 🐨
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colorFrom: yellow
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colorTo: yellow
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pinned: true
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short_description: book recommnedation
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---
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# Content-Based Book Recommender System
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This project provides a modular implementation of a content-based book recommendation system using Python. It uses TF-IDF vectorization and cosine similarity to recommend books based on their summaries.
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## Features
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- Load and preprocess datasets
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- Compute similarity between books based on their summaries
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- Generate content-based recommendations
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## Files
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- `app.py`: Entry UI for the recommendation system
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- `data_loader.py`: Handles data loading and preprocessing
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- `recommender.py`: Core recommendation logic
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- `requirements.txt`: Lists dependencies
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## Dependencies
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- `pandas`: For data manipulation
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- `scikit-learn`: For TF-IDF vectorization and cosine similarity calculation
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## Usage
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1. Install dependencies:
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```bash
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pip install -r requirements.txt
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